QwenTest / pythonProject /diffusers-main /build /lib /diffusers /modular_pipelines /flux /modular_pipeline.py
Download pythonProject/diffusers-main/build/lib/diffusers/modular_pipelines/flux/modular_pipeline.py from byyange/QwenTest: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/byyange/QwenTest/resolve/main/pythonProject/diffusers-main/build/lib/diffusers/modular_pipelines/flux/modular_pipeline.py
- Command line
-
hf download hf://byyange/QwenTest/pythonProject/diffusers-main/build/lib/diffusers/modular_pipelines/flux/modular_pipeline.py
-
curl -L -o modular_pipeline.py https://huggingface.co/byyange/QwenTest/resolve/main/pythonProject/diffusers-main/build/lib/diffusers/modular_pipelines/flux/modular_pipeline.py
1.86 kB
| # Copyright 2025 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from ...loaders import FluxLoraLoaderMixin, TextualInversionLoaderMixin | |
| from ...utils import logging | |
| from ..modular_pipeline import ModularPipeline | |
| logger = logging.get_logger(__name__) # pylint: disable=invalid-name | |
| class FluxModularPipeline(ModularPipeline, FluxLoraLoaderMixin, TextualInversionLoaderMixin): | |
| """ | |
| A ModularPipeline for Flux. | |
| <Tip warning={true}> | |
| This is an experimental feature and is likely to change in the future. | |
| </Tip> | |
| """ | |
| def default_height(self): | |
| return self.default_sample_size * self.vae_scale_factor | |
| def default_width(self): | |
| return self.default_sample_size * self.vae_scale_factor | |
| def default_sample_size(self): | |
| return 128 | |
| def vae_scale_factor(self): | |
| vae_scale_factor = 8 | |
| if getattr(self, "vae", None) is not None: | |
| vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1) | |
| return vae_scale_factor | |
| def num_channels_latents(self): | |
| num_channels_latents = 16 | |
| if getattr(self, "transformer", None): | |
| num_channels_latents = self.transformer.config.in_channels // 4 | |
| return num_channels_latents | |